基于云的数据库管理系统市场 - 预测 2023-2028
市场调查报告书
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1279595

基于云的数据库管理系统市场 - 预测 2023-2028

Cloud Database Management Systems Market - Forecasts from 2023 to 2028

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 142 Pages | 商品交期: 最快1-2个工作天内

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简介目录

基于云的数据库管理系统市场预计将从2021年的391.2亿美元增长到2028年的1147.36亿美元,复合年增长率为16.62%。

云数据库管理是除了本地存储之外或替代本地存储的一种跨云平台管理数据的方法。 通过使用云作为数据存储层,它可用于恢復、长期存储、事件管理等。 通过云数据库管理,您可以在需要时获取资源。 云数据库是在混合或开放云基础设施上运行的数据库的特定变体,旨在帮助组织管理、分析和存储数据。 云数据库可以作为 DBaaS(数据库即服务)提供,也可以设置在云中託管的虚拟机 (VM) 上,并由组织的 IT 员工自行管理。有时是这样做的。

能够按需购买资源是云数据库管理的一个优势。 此外,数据可以在本地存储内以及跨公共云和私有云共享。 传统数据管理系统的作用已被根据 Web 需求定制的基于云的数据管理系统所取代。 虽然某些平台可以在本地和云端管理和使用数据,但云数据库管理考虑到存储在每个位置的数据可能由完全不同的规则管理的可能性。 云数据存储有自己的安全性和完整性标准。 传统的数据管理技术可能不适用于云,因此制定满足云特定要求的控制措施非常重要。

云数据库提供的技术和经济优势正在推动云数据库管理系统市场的增长。

员工可以通过云数据库管理更加协作地工作,因为云数据库可以从任何地方检索他们需要的数据。 现代云解决方案通常被认为比本地部署更安全,但基于云的数据库管理系统支持及时自动安全升级和补丁。 云管理系统比典型的数据管理设置更具成本效益,因为它们不需要大量的设备或设置成本。 与任何其他云系统一样,它可以根据用户的需求和要求进行扩展或缩小。 基于云的数据库管理系统的可定制性增强,您可以根据组织的要求创建和定制云数据库管理服务。 用户还可以将这些系统配置为在现场、基于云或结合使用这两种类型的数据。

亚太地区在云数据库管理系统市场中占有很大份额。

按地区划分,云数据库管理系统市场分为北美、南美、欧洲、中东和非洲以及亚太地区。 北美是全球基于云的数据库管理系统市场的主要参与者,因为存在重要的国家和有影响力的公司,鼓励在与云数据管理相关的研发和生产改变游戏规则的创新方面进行财政支出服务市场,它占有一部分。 此外,该地区小企业的数量不断增加,有助于市场的稳定扩张。 此外,以降低成本和提高生产力为目的的CMS需求不断增加,预计亚太地区的云型数据库管理系统市场将在预测期内大幅扩大。

内容

第一章简介

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第 2 章研究方法

  • 调查数据
  • 调查设计

第 3 章执行摘要

  • 调查要点

第四章市场动态

  • 市场驱动因素
  • 市场製约因素
  • 波特五力分析
  • 行业价值链分析

第 5 章云数据库管理系统市场:按解决方案

  • 简介
  • 单云
  • 多云

第六章基于云的数据库管理系统市场:按公司规模划分

  • 简介
  • 小型和中型尺寸

第七章云数据库管理系统市场:按行业

  • 简介
  • BFSI
  • 医疗保健
  • 零售
  • IT 和电信
  • 製造业
  • 教育
  • 其他

第 8 章基于云的数据库管理系统市场:按地区

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 以色列
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 印度尼西亚
    • 台湾
    • 其他

第 9 章竞争格局与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议与合作
  • 供应商竞争力矩阵

第 10 章公司简介

  • Microsoft Corporation
  • Amazon Web Services
  • Oracle
  • IBM
  • SAP SE
  • Alphabet Inc.(Google)
  • MarkLogic Corporation
  • Teradata
  • Snowflake Inc.
  • Redis Labs
  • Databricks
  • Cloudera Inc.
简介目录
Product Code: KSI061614592

The cloud database management systems market is projected to grow at a CAGR of 16.62% from US$39.12 billion in 2021 to US$114.736 billion in 2028.

Cloud database management is a method of managing data across cloud platforms, either in addition to or instead of on-premises storage. Using the cloud as a data storage layer can help with restoration, lengthy preservation, and incident management. Resources can be acquired as needed using cloud database management. A cloud database is a specific variant of a database created to work in a blended or open cloud infrastructure and help an organization manage, analyze, and store data. Cloud databases may be made available as managed databases-as-a-service (DBaaS) or may be set up on a virtual machine (VM) hosted in the cloud and self-managed by institutional information system personnel.

The ability to buy resources on demand is a benefit of cloud database management. Additionally, data can be shared within on-premises storage and across public and private clouds. The role of a traditional data management system is assumed by a cloud-based data management system that has been adjusted for web requirements. Although some platforms can manage and use data in both on-premises and cloud contexts, cloud database management takes into account the possibility that data stored in each location may be governed by entirely different sets of rules. Cloud data storage has its own security and integrity standards. Having management in place created for the cloud's specific requirements is crucial as traditional data management techniques might not apply to the cloud.

The technological and financial advantages offered by cloud databases have significantly fuelled the growth of the cloud database management systems market.

With the possibility to retrieve the data they require from any location, employees can work more collaboratively due to cloud database management. Modern cloud solutions, which are sometimes thought of as more secure than on-premise deployments, are timely supported by automated security upgrades and patches owing to cloud database management systems. Cloud management systems are far more cost-effective than a typical data management setup as they do not require significant upfront equipment or setup expenses. The system also allows users to increase and decrease the scale in accordance with their needs and requirements, just like any other cloud system. The improved customization of cloud database management systems ensures that the organizational requirements can be taken into account while creating and customizing cloud database management services. Users can also set up these systems to work on-site, cloud-based, or a combination of both types of data.

Recent Developments

  • In January 2023, The United States Postal Service (USPS) signed a three-year contract with Veritas Technologies to further bolster its legislative, data compliance posture, and eDiscovery capabilities using Veritas Enterprise Vault, Merge1, and eDiscovery Platform. The deal might be worth up to US$70 million if the contract is extended for a further seven years. The USPS intends to adopt automatic data storage and preservation across all on-premises and cloud-based data sets, including cloud collaboration tools, using Veritas' technology. This will enable the company to determine the location of each data asset's resilience in the environment. Instead of relying on separate data management systems, the USPS is putting itself in a better position to defend against threats to consumer data by investing in a unified data management platform that improves data resilience throughout the cloud. By capturing and archiving data, whether it's on-premises or in the cloud, Veritas Enterprise Vault will enable USPS to simplify operations. Compliance officers and legal professionals can carry out security breach probes and react to regulatory orders to locate critical resolution files using the Veritas eDiscovery platform.
  • In September 2022, Kafkawize Technology Solutions was acquired by Aiven Ltd., a firm that offers managed cloud versions of open-source data management solutions. Aiven received US$210 million in capital a few months prior to the acquisition from a group of significant investors that included BlackRock, Salesforce Ventures, and others. The Series D fundraising deal valued Aiven Ltd. at over US$3 billion. The same-named open-source program is offered by Kafkawize. The program facilitates the adoption of Apache Kafka, an open-source platform that aids businesses in transferring data among various applications.

The Asia Pacific region holds a substantial market share in the cloud database management systems market.

Based on geography, the cloud database management systems market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. Due to the existence of significant countries and influential businesses that encourage financial expenditures in R&D initiatives and the production of revolutionary innovations associated with the cloud data management services market, North America accounts for a sizeable portion of the global market for cloud database management systems. Additionally, the region's growing number of small firms has contributed to the market's steady expansion. The growing demand for CMS across numerous industrial verticals to reduce costs and boost staff productivity is also anticipated to result in a significant increase in the Asia-Pacific cloud database management systems market during the projected period.

Market Segmentation

By Solution

  • Single Cloud
  • Multi Cloud

By Enterprise Size

  • Small and Medium
  • Large

By Industry Vertical

  • BFSI
  • Healthcare
  • Retail
  • IT and Telecom
  • Manufacturing
  • Education
  • Others

By Geography

  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Spain
    • Others
  • Middle East And Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Other
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY SOLUTION

  • 5.1. Introduction
  • 5.2. Single Cloud
  • 5.3. Multi Cloud

6. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY ENTERPRISE SIZE

  • 6.1. Introduction
  • 6.2. Small and Medium
  • 6.3. Large

7. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY INDUSTRY VERTICAL

  • 7.1. Introduction
  • 7.2. BFSI
  • 7.3. Healthcare
  • 7.4. Retail
  • 7.5. IT and Telecom
  • 7.6. Manufacturing
  • 7.7. Education
  • 7.8. Others

8. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East And Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Other
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisition, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. Microsoft Corporation
  • 10.2. Amazon Web Services
  • 10.3. Oracle
  • 10.4. IBM
  • 10.5. SAP SE
  • 10.6. Alphabet Inc. (Google)
  • 10.7. MarkLogic Corporation
  • 10.8. Teradata
  • 10.9. Snowflake Inc.
  • 10.10. Redis Labs
  • 10.11. Databricks
  • 10.12. Cloudera Inc.